Advanced induction motor rotor fault diagnosis via continuous and discrete time-frequency tools

Joan Pons-Llinares, Jose A. Antonino-Daviu, Martin Riera-Guasp, Sang Bin Lee, Tae June Kang, Chanseung Yang

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

Transient-based fault diagnosis in induction motors has gained increasing attention over the recent years. This is due to its ability to avoid eventual wrong diagnostics of the conventional motor current signature analysis in certain industrial situations (presence of load toque oscillations, light loading conditions, and so on). However, the application of these transient methodologies requires the use of advanced signal processing tools. This paper presents a detailed comparison between the two main groups of transforms that are employed in transient analysis: discrete and continuous. This paper does not focus on trivial fault cases but on difficult real situations where the application of the conventional methods often leads to false diagnostics (outer bar breakages in double-cage motors, motors with rotor axial duct influence, and combined faults). Indeed, it is the first time that continuous tools are applied to some of these controversial situations. The results in this paper prove the special advantages of the continuous transforms, tearing down some false myths about their use.

Original languageEnglish
Article number6894134
Pages (from-to)1791-1802
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume62
Issue number3
DOIs
Publication statusPublished - 2015

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Keywords

  • AC motors
  • failure analysis
  • fault diagnosis
  • Fourier transforms
  • induction motors
  • maintenance
  • rotors
  • signal processing
  • transient analysis
  • wavelet transforms

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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